by teddynote-lab · Agent Tool · ★ 51
🌪️ STORM Research Assistant STORM (Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking) - A writing system for generating grounded and organized long-form articles from scratch, with comparable breadth and depth to Wikipedia pages 📖 Overview STORM Research Assistant is a LangGraph-based implementation of the STORM methodology from Stanford, designed to write grounded and organized long-form articles from scratch.
| Stars | 51 |
| Forks | 8 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 70.670702794033/100 |
| Last Updated | 2025-06-06 |
| Created | 2025-06-04 |
| Platforms | python |
| Est. Tokens | ~34k |
These tools work well together with STORM-Research-Assistant for enhanced workflows:
Explore other popular agent tool tools:
STORM-Research-Assistant is 🌪️ AI research assistant that generates Wikipedia-quality articles through multi-perspective analysis. Based on Stanford's STORM methodology.. It is categorized as a Agent Tool with 51 GitHub stars.
STORM-Research-Assistant is primarily written in Python. It covers topics such as ai-research, anthropic, arxiv.
You can find installation instructions and usage details in the STORM-Research-Assistant GitHub repository at github.com/teddynote-lab/STORM-Research-Assistant. The project has 51 stars and 8 forks, indicating an active community.
STORM-Research-Assistant is released under the MIT license, making it free to use and modify according to the license terms.